Overview
The Border Anomaly Detection module provides an autonomous security solution for Pakistan's frontiers. Using AI models custom-trained for local terrain and conditions, it detects intrusions and unusual activities with minimal human intervention, ensuring unparalleled security across vast and remote regions.
The system is built on specialized YOLO models—YOLOv11x for drone detection and YOLOv5 for identifying human figures in thermal and standard drone feeds. This dual-model approach ensures comprehensive coverage against both ground and aerial threats.
By automating the detection of unauthorized crossings, smuggling activities, and drone intrusions, this module acts as a force multiplier, allowing security personnel to focus on verified threats and coordinate responses effectively.
Key Metrics
0%
Drone Detection Recall
0%
Person Detection Accuracy
0%
False Alarm Rate
0/7
Autonomous Operation
Core Detection Systems
The AI models powering our autonomous frontier guardian.
A custom-trained YOLOv5 model optimized to detect human figures in thermal and standard drone feeds, designed for border security scenarios with a focus on minimizing false positives.
A custom-trained YOLOv11x model designed for high-recall detection of drones, even at a distance. It distinguishes unmanned aerial vehicles (UAVs) from other objects like birds or background clutter, making it ideal for airspace security.